Find the best Data Warehouse Developers in Austria from 15,000 CVs with AI matching.
Need help with ETL and ELT pipelines, dimensional modelling, or cloud data platforms? Work with Data Warehouse Developers who know SQL, Snowflake, Azure Synapse, SAP BW, and reliable reporting layers. Get fast, precise matching with vetted, available freelancers.
About the role
What they build
Data Warehouse Developers design and maintain the data backbone for reporting, analytics, and planning. They turn source systems into clean, trusted structures that business teams can use without manual fixes.
- Build ETL and ELT pipelines
- Model facts, dimensions, and history
- Load data from ERP, CRM, and cloud apps
- Create marts for BI tools and self-service reporting
- Fix broken jobs, bad loads, and inconsistent mappings
Core skills
A strong Data Warehouse Developer combines SQL fluency with data modelling discipline. They understand how to move data safely, keep transformations readable, and make logic easy to maintain.
- SQL, stored procedures, and query tuning
- Dimensional modelling and normalization where needed
- Data quality checks, reconciliations, and lineage awareness
- Batch and incremental loading patterns
- Clear documentation for handover and support
Tools and stacks
The stack depends on the client, but the work often sits across cloud warehouses, orchestration tools, and BI layers. Many companies also look for a DWH developer who can work in mixed environments with legacy and modern systems.
Typical tools include Snowflake, Microsoft SQL Server, Azure Synapse, Databricks, SAP BW, Oracle, dbt, Airflow, Power BI, and Tableau. In Austria, this role often supports manufacturing, finance, logistics, and industrial companies that need stable reporting across several source systems.
When to bring one in
Freelance help makes sense when a warehouse project needs focused delivery, specialist knowledge, or extra capacity for a short period.
- A new warehouse or data mart must be built quickly
- An existing model needs cleanup after years of ad hoc changes
- Source systems, APIs, or ERP data must be integrated
- A release is blocked by load failures or poor performance
- The internal team needs support during migration or redesign
What strong people do well
Good Data Warehouse Engineers ask the right questions before writing code. They check source definitions, business rules, refresh windows, and ownership of the data.
They also write transformations that other developers can read later. Strong candidates keep logic modular, protect against duplicates and missing records, and know when to optimize the warehouse versus when to simplify the model.
Working setup
Freelance Data Warehouse Developers usually join existing analytics or platform teams. They work remotely on most build tasks, then align on-site in Austria when access, workshops, or stakeholder reviews require it.
Good collaboration depends on stable requirements, clear source access, and quick feedback from data owners. If you hire a BI developer or data warehouse engineer for a project, make sure the scope covers modelling, loads, and testing, not just report outputs.
Meet FRATCH Data Warehouse Developers
Elija Lechner
Founder
Last position:
Fujitsu Germany
- Supporting and helping shape the setup and further development of a company-wide HUB system in the Fujitsu environment for integrating a wide range of data sources and applications in an international context
- Designing and implementing data modeling, ETL processes, reporting, and data quality management
Octavian Golea
DWH Technical Analyst
Last position:
Oracle DWH Analyst at Infomotion Gmbh
Oracle PL/SQL, Oracle SQL, ITIL
Hossein Adibpouya
Data Engineer · Microsoft Fabric Specialist · Analyst · Automation Expert
Last position:
Datawarehouse Consultant at LENZING AG
- Consulting on the enterprise data-warehouse and reporting practice at one of Austria's largest industrial groups.
- Designing and standardizing Power BI dashboards and data-visualization governance for company-wide enterprise reporting.
- Developing a WCAG-compliant, colorblind-safe visualization standard (Okabe-Ito palette) to harmonize dashboards across the organization.
Kevin Lang
Data Engineering & DWH Data Engineering Environment
Last position:
Data Consultant at VBV Pension and Provident Fund Austria
Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support for the standardization of process documentation to improve transparency, consistency, and traceability across all operational workflows. Contribution to defining documentation standards, templates, and governance principles for internal process management and audit readiness.
Michael Hahn
Interim Lead Developer DWH
Last position:
Interim Lead Developer DWH at Insurance
- Technical leadership of the development for a near real-time data warehouse of an insurance company
- Ensure stable operation
- Analyze and fix errors for ongoing operations
- Optimize and tune SQL queries and ETL jobs
- Revise scheduling in Automic (UC4)
- Coordinate with business units and external clients for further developments
- Data modeling and programming for sales management
- Tune PostgreSQL queries and functions for balance data queries
- Create hotfixes and releases
- Plan and coordinate deployments
- Execute test runs and analyze the results
- Handover activities to internal teams
Raphael Gwiggner
Software Developer, ERP Consultant, Data Warehouse Engineer and Document/Workflow Management System Creator
Last position:
Software Developer, ERP Consultant, Data Warehouse Engineer and Document/Workflow Management System Creator at hoferdigital gmbh
- Ruby Rails, Python, React, CakePHP
- ERP consultant for various companies (Software: VenDoc)
- Constructed and managed data warehouses using MS SQL, Azure, SSDT, Power BI, Report Designer
- Managed and evaluated workflow and productivity, making changes where necessary
- Automated workflows to increase efficiency, e.g., invoice audit with OCR captures
Discover over 15,000 top freelancers
Data Warehouse Developers statistics
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
4.3 years
Positions per freelancer
10
Top business areas
Business Intelligence, Information Technology, Operations
Top industries
Information Technology, Retail, Banking and Finance
Bachelor's degree or higher
80%
Master's degree or higher
60%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
83%
Daily Rate Distribution
The chart shows how the daily rates of freelancers in this role are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Average rates for Data Warehouse Developers & Seniority distribution
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Frequently Asked Questions
Curious about FRATCH? Find the answers you need
A Data Warehouse Developer builds the data structures behind reporting and analysis. That usually includes source integration, ETL or ELT logic, warehouse tables, data marts, and validation rules. On many projects, the work also includes fixing load jobs and improving performance.
A strong Data Warehouse Engineer is fluent in SQL and understands data modelling, incremental loads, and data quality checks. They should be able to read business rules, trace source data, and write transformations that are maintainable. Familiarity with cloud warehouses, orchestration, and BI tools is often important too.
A Data Warehouse Developer sits between raw data ingestion and business reporting. Compared with a BI Developer, the focus is more on the warehouse layer and transformation logic than on dashboards. Compared with a Data Engineer, the work is usually more centred on modelling, trusted reporting structures, and analytics readiness.
A freelancer is the better fit when you need specialist delivery for a project, a migration, or a backlog of warehouse fixes. That is common when an internal team is busy, missing one key skill, or needs help for a limited period. A permanent hire makes more sense if the workload is steady and long term.
A DWH developer often works with SQL Server, Snowflake, Azure Synapse, Databricks, SAP BW, Oracle, dbt, Airflow, Power BI, or Tableau. The exact stack depends on the source landscape and reporting setup. What matters most is that the person can move data safely across the whole pipeline.
Much of the implementation can be done remotely if source access, environments, and stakeholder input are available. On-site time in Austria is useful for workshops, requirements sessions, and handovers with local business teams. Hybrid setups are common when the client has sensitive systems or many internal stakeholders.
Look for clear modelling decisions, stable load logic, and good testing discipline. A good Data Warehouse Developer explains how source fields map to business rules and can show how they prevent duplicate or inconsistent data. Clean documentation and calm handling of change are strong signs of quality.
A data warehouse developer should clarify source systems, refresh cycles, ownership of business rules, and the expected output layer. They also need to know which environment is available for development and testing, and who approves changes. Clear scope at the start prevents rework later.
The average hourly rate for Data Warehouse Developers in Austria is 110 €, which corresponds to a daily rate of about 881 € based on an 8-hour working day.
Of the freelancers working as Data Warehouse Developers in Austria, 80% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers working as Data Warehouse Developers in Austria have 17 years of professional experience, with a single engagement typically lasting around 4.3 years.
The most common languages among freelancers working as Data Warehouse Developers in Austria are German (100%), English (83%), and Spanish (17%).
The most common industries among freelancers working as Data Warehouse Developers in Austria are Information Technology (67%), Retail (67%), and Banking and Finance (33%).
The most common business areas among freelancers working as Data Warehouse Developers in Austria are Business Intelligence (100%), Information Technology (100%), and Operations (83%).
FRATCH Data Warehouse Developers main locations
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz Request a Free Demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
